Data mining

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems.

Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems.

The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research.

The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research.

This book covers IoT and Big Data from a technical and business point of view.

This book covers IoT and Big Data from a technical and business point of view.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data.

This book focuses on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network).

This book focuses on RFID (Radio Frequency Identification), IoT (Internet of Things), and WSN (Wireless Sensor Network).

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods.

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data through machine learning methods.

Based on interdisciplinary research into "e;Directional Change"e;, a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading.

Based on interdisciplinary research into "e;Directional Change"e;, a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading.

The twenty-first century is a time of intensifying competition and progressive digitization.

The twenty-first century is a time of intensifying competition and progressive digitization.

This book presents a detailed exploration of adaption and implementation, as well as a 360-degree view spectrum of blockchain technologies in real-world business applications.

This book presents a detailed exploration of adaption and implementation, as well as a 360-degree view spectrum of blockchain technologies in real-world business applications.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book.

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book.

Handbook of IoT and Blockchain: Methods, solutions, and Recent Advancements includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain.

Handbook of IoT and Blockchain: Methods, solutions, and Recent Advancements includes contributions from around the globe on recent advances and findings in the domain of Internet of Things (IoT) and Blockchain.

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach.

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach.

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts.

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts.

This book discusses the evolution of security and privacy issues in the Internet of Things (IoT).

This book discusses the evolution of security and privacy issues in the Internet of Things (IoT).

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code.

Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R: From the Ground Up reveals how machine learning algorithms do their magic and explains how these algorithms can be implemented in code.

This book explores the concepts and role of green computing and its recent developments for making the environment sustainable.

This book explores the concepts and role of green computing and its recent developments for making the environment sustainable.

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities.

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today.

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today.

In recent years, blockchain development has grown quickly from the original Bitcoin protocol to the second-generation Ethereum platform, and to today's process of building third-generation blockchains.

In recent years, blockchain development has grown quickly from the original Bitcoin protocol to the second-generation Ethereum platform, and to today's process of building third-generation blockchains.

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities.

A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of machine learning concepts from basic principles and illustrates every concept using examples in both Python and MATLAB(R), which are available on GitHub and can be run from there in Binder in a web browser.

This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions.

This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions.

Although the web and online SAS(R) communities can provide volumes of information for programmers, these resources are often overwhelming and lack a simple path to guide coding SAS.

Although the web and online SAS(R) communities can provide volumes of information for programmers, these resources are often overwhelming and lack a simple path to guide coding SAS.

The convergence of Artificial Intelligence (AI) and Financial Technology (Fintech) has ushered in a new era of innovation in the finance ecosystem, particularly within the context of the digital gig economy.

The consequences of recent floods and flash floods in many parts of the world have been devastating.

The consequences of recent floods and flash floods in many parts of the world have been devastating.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning.

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning.

Since the beginning of time, running a business has involved using logic by which the business operates.

Since the beginning of time, running a business has involved using logic by which the business operates.